EXAONE-3.5-2.4B-Instruct-GGUF
Bilingual text generation model developed by LG AI Research
Product Details
EXAONE-3.5-2.4B-Instruct-GGUF is a series of bilingual (English and Korean) instruction-tuned generative models developed by LG AI Research, with parameters ranging from 2.4B to 32B. These models support long context processing up to 32K tokens and demonstrate state-of-the-art performance in real-world use cases and long context understanding, while remaining competitive in the general domain compared to recently released models of similar size. The importance of this model is that it optimizes deployment on small or resource-constrained devices while delivering strong performance.
Main Features
How to Use
Target Users
The target audience is researchers and developers who need to deploy high-performance language models on resource-constrained devices, as well as application developers who need to handle long text and multilingual text generation. This model is suitable for them because it provides optimized deployment options and strong performance, while supporting long context understanding and multilingual capabilities.
Examples
Researchers use the EXAONE-3.5-2.4B-Instruct-GGUF model to conduct semantic understanding research on long texts.
Developers use this model to implement real-time multi-language translation capabilities on mobile devices.
Enterprises use this model to optimize automatic reply systems in customer service and improve response efficiency and accuracy.
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